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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Scientific production in the era of Large Language Models · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2601.13187/</link><description>Collected HN comments and submissions linking this paper.</description><language>en</language><lastBuildDate>Mon, 02 Nov 2026 11:16:22 GMT</lastBuildDate><atom:link href="https://hackerpaper.kaipfister.de/p/2601.13187/feed.xml" rel="self" type="application/rss+xml" /><item><title>Scientific production in the era of Large Language Models — mentioned by lhd1</title><link>https://news.ycombinator.com/item?id=49929870</link><guid isPermaLink="false">urn:hackerpapers:mention:2601.13187:49929870</guid><pubDate>Fri, 02 Oct 2026 04:33:33 GMT</pubDate><description>&lt;p&gt;several authors including the creator of arxiv, Paul Ginsparg, foretell a future in which we &amp;quot;increasingly rely on status markers such as author pedigree and institutional affiliation as signals of quality, ironically counteracting the democratizing effects of LLMs on scientific production.&amp;quot; I think this is a very plausible outcome of a flood of preprints. Because there&amp;#x27;s only so much time in a day and are we going to spend it on papers by less established people who we do not trust? It&amp;#x27;s a pity. If the science is good what does it matter who produced it. https://arxiv.org/abs/2601.13187&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2601.13187/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.DL</category></item><item><title>Scientific production in the era of Large Language Models — mentioned by Rochus</title><link>https://news.ycombinator.com/item?id=46766823</link><guid isPermaLink="false">urn:hackerpapers:mention:2601.13187:46766823</guid><pubDate>Mon, 26 Jan 2026 15:29:28 GMT</pubDate><description>&lt;p&gt;AI causes just an intensification of longstanding problems. The &amp;quot;publish or perish&amp;quot; pressure has compromised research integrity for decades (including manipulated peer reviews, massaged or fabricated results, and ignored conflicts of interest). Cambridge University Press recently warned that &amp;quot;without urgent, sector-wide reform, the global academic publishing ecosystem is at risk of collapsing&amp;quot; (https://www.insidehighered.com/news/faculty-issues/research/...), explicitly attributing these problems to the pervasive publish-or-perish culture. Ironically, AI even enables scientists to free up…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2601.13187/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.DL</category></item></channel></rss>
